Liyuan Chen

1.2k citations
15 papers · 759 · 1 hit paper · h-index 13

Impact in

  • Neurology top 10%
    • Long-Term Effects of COVID-19
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

Liyuan Chen

14 papers receiving 732 citations

Liyuan Chen's Hit Papers

Illness duration and symptom profile in symptomatic UK school-aged children tested for SARS-CoV-2 2021 · 298 citations
2980+1+3Years since publication50100150200250

Peers

Liyuan Chen
Comparison fields: 5 of 86
  • Neurology 195
  • Infectious Diseases 167
  • Critical Care and Intensive Care Medicine 28
  • Health 40
  • Geriatrics and Gerontology 16
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Liyuan Chen relative to Sadie Kelly United Kingdom Sadie Kelly's profile →
Citations per field
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Citations per year

Countries citing papers authored by Liyuan Chen

Since Specialization
Citations

This map shows the geographic impact of Liyuan Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Liyuan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyuan Chen more than expected).

Fields of papers citing papers by Liyuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liyuan Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Liyuan Chen. The network helps show where Liyuan Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Liyuan Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liyuan Chen Line = papers co-authored together Liyuan Chen links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Illness duration and symptom profile in symptomatic UK school-aged children tested for SARS-CoV-2
Hit paper breakdown →
2021298
2 2010102
3 201367
4 202152
5 202241
6 202236
7 202232
8 201325
9 201822
10 202220
11 201319
12 201517
13 202316
14 202112
15 20250

About Liyuan Chen

Liyuan Chen is a scholar working on Infectious Diseases, Physiology, Health Information Management, Health and Genetics, having authored 15 papers that have together received 759 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Nutrition and Health in Aging (2 papers), Photosynthetic Processes and Mechanisms (1 paper), Cardiovascular Effects of Exercise (1 paper), COVID-19 Clinical Research Studies (1 paper), Chronic Disease Management Strategies (1 paper), Vaccine Coverage and Hesitancy (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Neurology (195 citations), Infectious Diseases (167 citations), Critical Care and Intensive Care Medicine (28 citations), Health (40 citations) and Geriatrics and Gerontology (16 citations). Liyuan Chen has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Ching‐Yi Wang, Anne M. Dubin, Kara S. Motonaga, Raymond R. Balise, Christina Y. Miyake, Sarah A. Teele, Sowmya Balasubramanian, David N. Rosenthal, Mark E. Alexander and Douglas Yeu Mah. Their work appears in journals such as Vaccine, Journal of Neurology Neurosurgery & Psychiatry, Frontiers in Genetics, The American Journal of Cardiology and EClinicalMedicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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